Americans

GP: 10 | W: 9 | L: 1 | OTL: 0 | P: 18
GF: 47 | GA: 17 | PP%: 19.23% | PK%: 93.55%
DG: Frederic Goldstyn | Morale : 61 | Moyenne d'Équipe : 62
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Greg CareyX100.005838866371949562656161586277695663630
2John QuennevilleXX100.006238856376766462716063626065647864610
3Sheldon DriesX100.006640796366726762686159655669655160610
4Erik CondraX100.005637876369847261535960565782764163610
5Sam Lafferty (R)XX100.006142756074939159706254575367646160610
6Cameron DarcyX100.005838855672939155565453575069656064590
7Eric CornelX100.006437895579959654575452565365636264590
8Kailer Yamamoto (R)XX100.005636906359767162565761585761638260590
9Justin KloosXX100.005236915964766958635957565571665164580
10Conner BleackleyX100.005938865573918654575452545365636264580
11Mikey EyssimontXX100.005538845570928954565353555465636260580
12Steven WhitneyX100.005337895561918754565253545175685760570
13Deven SideroffX100.005237895667777154635751525463626364560
14Casey NelsonX100.006443896274795361306658674973673761630
15Robbie RussoX100.005937885973939058306252564771666063620
16Calle RosenX100.005637886475876863306258575069655164620
17Blake SiebenalerX100.006636915579777153305251544565636263590
18Justin HollX100.005635935886735356305751524873676164580
Rayé
MOYENNE D'ÉQUIPE100.00593887597284775852585657536966596360
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Antti Niemi100.00777270827675777675777686902460750
2Charlie Lindgren100.00766664747574767574767571754763710
Rayé
1Marek Mazanec100.00727472847170727170727175814540710
MOYENNE D'ÉQUIPE100.0075716980747375747375747782395472
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lindy Ruff75707166898357CAN5955,000,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1John QuennevilleAmericans (Buf)C/LW10691512160271839192815.38%122322.351235320001181058.64%16200011.3401000230
2Calle RosenAmericans (Buf)D1021214112013101351615.38%1024224.25112632000022000.00%000001.1500000111
3Robbie RussoAmericans (Buf)D901212712013312540.00%424226.91033932000014000.00%000000.9900000000
4Greg CareyAmericans (Buf)LW96410114071645132613.33%223826.541128320001251057.50%8000000.8401000012
5Sam LaffertyAmericans (Buf)C/LW9371042023293614138.33%120723.001125350002151066.50%19700000.9711000101
6Casey NelsonAmericans (Buf)D9279131151571871411.11%1023626.302021430000021000.00%000000.7600001002
7Kailer YamamotoAmericans (Buf)C/RW954942041950112710.00%518520.571121234000000137.50%800000.9700000021
8Mikey EyssimontAmericans (Buf)C/LW9448420641502126.67%118620.73000335000001066.67%1200000.8600000100
9Sheldon DriesAmericans (Buf)C934762091822101413.64%110611.8700000000001061.47%10900001.3100000100
10Justin KloosAmericans (Buf)C/RW10224500081131218.18%0939.3500000000000033.33%900000.8600000001
11Justin HollAmericans (Buf)D100444601334540.00%1021421.48022232000018000.00%000000.3700000000
12Erik CondraAmericans (Buf)RW940450010141742223.53%011813.12000433000092050.00%2400000.6801000000
13Eric CornelAmericans (Buf)RW1031462044164418.75%111411.4300000000000075.00%400000.7000000101
14Cameron DarcyAmericans (Buf)C100336204711630.00%0909.0300000000000059.60%9900000.6600000000
15Conner BleackleyAmericans (Buf)C10022300202150.00%0262.6400002000030075.00%400001.5100000000
16Blake SiebenalerAmericans (Buf)D91127803331033.33%814516.130001800008000.00%000000.2800000000
17Deven SideroffAmericans (Buf)RW101013003141125.00%2474.78000010000161060.00%500000.4200000010
18Steven WhitneyAmericans (Buf)RW9000000000000.00%010.200000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne170427611811171515616431810921413.21%56272116.01711186934400041758160.73%71300010.8714001789
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Antti NiemiAmericans (Buf)98100.9291.4354503131820101.000490110
Stats d'équipe Total ou en Moyenne98100.9291.4354503131820101.000490110


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Antti NiemiAmericans (Buf)G351983-08-29No209 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm2,000,000$0$0$NoLien
Blake SiebenalerAmericans (Buf)D231996-02-27No208 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Calle RosenAmericans (Buf)D251994-02-02No186 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Cameron DarcyAmericans (Buf)C251994-03-02No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Casey NelsonAmericans (Buf)D261992-07-18No185 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Charlie LindgrenAmericans (Buf)G251993-12-18No182 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Conner BleackleyAmericans (Buf)C231996-02-07No192 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Deven SideroffAmericans (Buf)RW221997-04-14No171 Lbs5 ft11NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Eric CornelAmericans (Buf)RW231996-04-11No195 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Erik CondraAmericans (Buf)RW321986-08-06No185 Lbs5 ft11NoNoNo2Sans RestrictionPro & Farm350,000$0$0$NoLien
Greg CareyAmericans (Buf)LW291990-04-05No204 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm300,000$0$0$NoLien
John QuennevilleAmericans (Buf)C/LW231996-04-16No195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Justin HollAmericans (Buf)D271992-01-30No205 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Justin KloosAmericans (Buf)C/RW251993-11-30No175 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Kailer YamamotoAmericans (Buf)C/RW201998-09-29Yes153 Lbs5 ft8NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Marek MazanecAmericans (Buf)G271991-07-18No187 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Mikey EyssimontAmericans (Buf)C/LW221996-09-09No180 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Robbie RussoAmericans (Buf)D261993-02-15No191 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Sam LaffertyAmericans (Buf)C/LW241995-03-06Yes184 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Sheldon DriesAmericans (Buf)C251994-04-23No185 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Steven WhitneyAmericans (Buf)RW281991-02-18No168 Lbs5 ft7NoNoNo1Sans RestrictionPro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.48187 Lbs6 ft02.29440,476$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Greg CareyJohn QuennevilleErik Condra40122
2Mikey EyssimontSam LaffertyKailer Yamamoto30122
3Greg CareySheldon DriesEric Cornel20122
4John QuennevilleCameron DarcyJustin Kloos10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Casey NelsonCalle Rosen40122
2Robbie RussoJustin Holl30122
3Blake SiebenalerCasey Nelson20122
4Calle RosenRobbie Russo10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Greg CareyJohn QuennevilleErik Condra60122
2Mikey EyssimontSam LaffertyKailer Yamamoto40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Casey NelsonCalle Rosen60122
2Robbie RussoJustin Holl40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Greg CareyJohn Quenneville60122
2Erik CondraSam Lafferty40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Casey NelsonCalle Rosen60122
2Robbie RussoJustin Holl40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Greg Carey60122Casey NelsonCalle Rosen60122
2John Quenneville40122Robbie RussoJustin Holl40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Greg CareyJohn Quenneville60122
2Erik CondraSam Lafferty40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Casey NelsonCalle Rosen60122
2Robbie RussoJustin Holl40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Greg CareyJohn QuennevilleErik CondraCasey NelsonCalle Rosen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Greg CareyJohn QuennevilleErik CondraCasey NelsonCalle Rosen
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Conner Bleackley, Steven Whitney, Deven SideroffConner Bleackley, Steven WhitneyDeven Sideroff
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Blake Siebenaler, Justin Holl, Casey NelsonBlake SiebenalerJustin Holl, Casey Nelson
Tirs de Pénalité
Greg Carey, John Quenneville, Erik Condra, Sam Lafferty, Sheldon Dries
Gardien
#1 : Antti Niemi, #2 : Charlie Lindgren


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Bears1010000002-21010000002-20000000000000.00000000141616127110124948206814500.00%4175.00%020633461.68%14725856.98%8715655.77%2862162056311361
2Eagles22000000936110000003031100000063341.00091524011416161751101249484618193910440.00%50100.00%020633461.68%14725856.98%8715655.77%2862162056311361
3Heat220000001376110000007431100000063341.00013243700141616154110124948631820329333.33%80100.00%020633461.68%14725856.98%8715655.77%2862162056311361
4Marlies2200000014014110000008081100000060641.00014284202141616110411012494831514311119.09%60100.00%020633461.68%14725856.98%8715655.77%2862162056311361
5Penguins11000000532000000000001100000053221.0005813001416161191101249482344105240.00%20100.00%020633461.68%14725856.98%8715655.77%2862162056311361
6Rocket21000010624110000004131000001021141.000681400141616153110124948381212391200.00%6183.33%020633461.68%14725856.98%8715655.77%2862162056311361
Total108100010471730541000002271554000010251015180.90047831300314161613321101249482216377165521019.23%31293.55%020633461.68%14725856.98%8715655.77%2862162056311361
_Since Last GM Reset108100010471730541000002271554000010251015180.90047831300314161613321101249482216377165521019.23%31293.55%020633461.68%14725856.98%8715655.77%2862162056311361
_Vs Conference8700001042123044000000225174300001020713161.0004275117031416161286110124948178536514142819.05%25196.00%020633461.68%14725856.98%8715655.77%2862162056311361
_Vs Division270000109361400000030313000010633164.00091524011416161751101249484618193910440.00%50100.00%020633461.68%14725856.98%8715655.77%2862162056311361

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1018W54783130332221637716503
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
108100104717
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5410000227
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
54000102510
Derniers 10 Matchs
WLOTWOTL SOWSOL
810010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
521019.23%31293.55%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
1101249481416161
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
20633461.68%14725856.98%8715655.77%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2862162056311361


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2019-09-027Heat4Americans7WSommaire du Match
3 - 2019-09-0426Americans2Rocket1WXXSommaire du Match
5 - 2019-09-0640Eagles0Americans3WSommaire du Match
7 - 2019-09-0854Americans6Eagles3WSommaire du Match
10 - 2019-09-1175Bears2Americans0LSommaire du Match
11 - 2019-09-1285Americans6Marlies0WSommaire du Match
14 - 2019-09-15109Marlies0Americans8WSommaire du Match
16 - 2019-09-17126Rocket1Americans4WSommaire du Match
18 - 2019-09-19146Americans5Penguins3WSommaire du Match
19 - 2019-09-20150Americans6Heat3WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 92,500$ 90,750$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT